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AI Lead, Client Technology - SVP

Citi -
New York, NY

Apply Now

Job Details

Full-time
$176,720 - $265,080 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

AI models
Rapid prototyping
Containerization systems
Software engineering
Reinforcement learning
Data systems development
Continuous Delivery (CD) implementation
Engineering development testing
Generative models
System design
AI platforms (beyond public GPTs)
Computational framework
Technology security practices
Prompt engineering
Microservices
Event-driven architecture
Data Architecture Design (Architecture design skills)
Production systems
Machine intelligence
Version control systems
Software testing
Developing and maintaining backend systems
Agile software development
Model training
DevOps automation
Machine learning libraries
Machine learning frameworks
Developer tools
Prototypes
Generative AI

Full Job Description

Job Summary/Position Overview

We are seeking a highly skilled and pragmatic AI Lead to design, develop, deploy and manage advanced AI solutions. This multifaceted role involves creating intelligent AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention, as well as contributing to the development and implementation of generative AI solutions. The ideal candidate will possess a strong understanding of AI principles, agent-based systems, machine learning, software engineering and management best practices. This hybrid position emphasizes technical leadership, focusing on rapid prototyping, iterative improvement, and delivering measurable business value by translating research ideas into robust, scalable production systems.

Key Responsibilities

Agent and Generative AI Development: Design, implement, and deploy intelligent agents, including perception, reasoning, planning, and action execution modules. Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives.
System Architecture & Scalability: Develop scalable and robust architectures for agentic systems and generative AI applications, ensuring high performance, reliability, and security.
Machine Learning & LLM Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making. Implement LLM integration using platforms like OpenAI, Anthropic, and Bedrock APIs.
Task Automation & Workflow Optimization: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.
Rapid Delivery: MVP first approach, iterative improvement approach with a focus on "time to value" (quick iterations, hypothesis testing, A/B experiments).
Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools. Build full-stack applications that integrate existing ML/LLM tools and services.
Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior.
Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions. Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies.
Collaboration & Leadership: Work closely with cross-functional teams (AI researchers, data scientists, product managers, software engineers) to integrate agentic and generative AI solutions into broader products and services. Lead technical teams through hands-on coding and architectural decisions, championing pragmatic "buy and integrate" approaches.
Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.
Team Management: Manage a small AI team to deliver on key AI initiatives in the client delivery space.

Required Qualifications

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
Experience:
- 10+ years software engineering experience with recent hands-on coding, with a track record of rapid delivery and launching multiple AI features in production.
- Minimum 3+ years of professional experience in software development with a focus on AI, prompt engineering, machine learning and/or agentic AI systems.
- Experience in the finance industry is a plus.
Programming Proficiency:
- Strong proficiency in Python (FastAPI, Django, Flask, PySpark) or Java (Spring Boot, Spring Cloud, Spring Security), and SQL.
- JavaScript (React, Next.js, Node.js, TypeScript).
- Full-stack development with a focus on rapid prototyping.
AI/ML Expertise:
- Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas).
- Familiarity with large language models (LLMs) like ChatGPT, LaMDA/Gemini, Llama, etc., and their application in agentic systems.
- Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning.
- Experience in designing and implementing APIs for AI services.
Software Engineering: Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews. Understanding of agile methodologies, application resiliency, and security applied to AI projects. Proven experience in system design, application development, and operational stability in AI projects.
Application and Data Architecture: Experience with application and data architecture patterns and designs. Thorough understanding of data flows from producer to consumer systems. Familiarity with data engineering practices to support AI model training and deployment. Leveraging managed services and existing platforms, with an API-First Design emphasizing microservices and event-driven architectures.
Containerization: Experience with Docker and Kubernetes.
Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.
Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

New York New York United States

Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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